Journals / Türk Kardiyoloji Derneği Arşivi / 2010 / Cilt: 38 - Sayı: 2

Şüpheli veya kanıtlanmış koroner arter hastalıklı olgularda 64 kesitli bilgisayarlı tomografinin tanısal doğruluğu

Diagnostic accuracy of 64-slice computed tomography in patients with suspected or proven coronary artery disease

Pages
95–100
Publication Date
2022-11-05
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In segment-based analysis, the overall sensitivity was 82.3%, specificity was 97.4%, NPV was 97.3%, and PPV was 82.9%.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objectives: Multislice computed tomography (MSCT) is a promising noninvasive method of detecting coronary artery disease.
📊
Key Findings & Data:The purpose of this study was to investigate the accuracy of 64-slice CT in consecutive patients with suspected or proven coronary artery disease.
💡
Conclusion & Impact:In segment-based analysis, the overall sensitivity was 82.3%, specificity was 97.4%, NPV was 97.3%, and PPV was 82.9%.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objectives: Multislice computed tomography (MSCT) is a promising noninvasive method of detecting coronary artery disease. However, most data have been obtained in selected series of patients. The purpose of this study was to investigate the accuracy of 64-slice CT in consecutive patients with suspected or proven coronary artery disease. Study design: Seventy-three consecutive patients (57 males, 16 females; mean age 59±9 years; range 33 to 83 years) were examined by 64-slice CT before coronary angiography (CA). Eight patients had a history of percutaneous coronary intervention and stenting and five patients had a history of coronary artery bypass grafting. Sensitivity, specificity, and positive (PPV) and negative (NPV) predictive values of MSCT for the detection of significant stenosis were calculated on a segmental, vessel, and patient basis. Results: Sixty-one patients were diagnosed as having at least one significant stenosis with CA. Of these, MSCT identified 58 patients correctly. Two patients were incorrectly diagnosed as having one-vessel disease by MSCT. Patient-based sensitivity, specificity, NPV, and PPV of MSCT were 95.1%, 83.3%, 76.9%, and 96.7%, respectively. Of 1065 segments evaluated, CA detected 141 significant stenoses. On MSCT, significant stenoses were correctly diagnosed in 116 segments. Twenty-four nonsignificant lesions were overestimated by MSCT. In segment-based analysis, the overall sensitivity was 82.3%, specificity was 97.4%, NPV was 97.3%, and PPV was 82.9%. The accuracy of MSCT was in full agreement with CA in the evaluation of stent and graft patency. Conclusion: Our findings show that 64-slice CT is highly accurate for the detection of significant coronary artery disease in an unselected patient population and can be used as a noninvasive technique.

Özet

Amaç: Çokkesitli bilgisayarlı tomografi (ÇKBT) koroner arter hastalığının saptanmasında gelecek vaat eden, invaziv olmayan bir yöntemdir. Ancak, bilgilerin çoğu seçilmiş hasta serilerinden elde edilmiştir. Bu çalışmada, şüpheli veya kanıtlanmış koroner arter hastalığı bulunan ardışık hasta grubunda 64 kesitli BT’nin tanısal doğruluğu araştırıldı. Çalışma planı: Çalışmaya, koroner anjiyografiden önce 64 kesitli BT ile incelenen 73 ardışık hasta (57 erkek, 16 kadın; ort. yaş 59±9; dağılım 33-83) alındı. Sekiz hastaya daha önce perkütan koroner girişim ile birlikte stent yerleştirilmiş, beş hastaya ise koroner arter baypas ameliyatı yapılmıştı. Önemli koroner arter darlığının saptanmasında ÇKBT’nin duyarlığı, özgüllüğü, negatif ve pozitif öngörü değerleri segment, damar ve hasta temelinde hesaplandı. Bulgular: Koroner anjiyografide 61 hastada en az bir damarda önemli darlık saptandı. Bu hastaların 58’inde ÇKBT koroner anjiyografi ile uyumluydu. İki hastada ÇKBT yanlış olarak tek damar hastalığı gösterdi. Hasta temelli değerlendirmede ÇKBT’nin duyarlığı, özgüllüğü, negatif ve pozitif öngörü değerleri sırasıyla %95.1, %83.3, %76.9 ve %96.7 bulundu. Değerlendirilen 1065 segmentin 141’inde koroner anjiyografi ile önemli darlık gösterildi. Bu segmentlerin 116’sında ÇKBT koroner anjiyografi ile uyumluydu; 24 segmentte ise ÇKBT ile yanlışlıkla önemli darlık değerlendirilmesi yapıldı. Segment temelli değerlendirmede ÇKBT’nin duyarlığı, özgüllüğü, negatif ve pozitif öngörü değerleri sırasıyla %82.3, %97.4, %97.3 ve %82.9 bulundu. Stentli ve greftli hastalarda ÇKBT koroner anjiyografi ile tam uyum gösterdi. Sonuç: Bulgularımız, ÇKBT’nin seçilmemiş koroner arter hastalarında önemli koroner darlığı saptamada yüksek doğruluğa sahip olduğunu ve invaziv olmayan bir yöntem olarak kullanılabileceğini göstermektedir.

🔖

Cite This Article

AKIN, K., SELÇOKİ, Y., YILMAZ, Ö. Ç., KANKILIÇ, M. N., ERYONUCU, B. (2022). Şüpheli veya kanıtlanmış koroner arter hastalıklı olgularda 64 kesitli bilgisayarlı tomografinin tanısal doğruluğu. Türk Kardiyoloji Derneği Arşivi, Cilt: 38 - Sayı: 2, 95–100. https://ajindex.com/articles/633249

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Noto TJ Jr, Johnson LW, Krone R, Weaver WF, Clark DA, Kramer JR Jr, et al. Cardiac catheterization 1990: a report of the Registry of the Society for Cardiac Angiography and Interventions (SCA&I). Cathet Cardiovasc Diagn 1991;24:75-83
  2. Leber AW, Knez A, Becker C, Becker A, White C, Thilo C, et al. Non-invasive intravenous coronary angiography using electron beam tomography and multislice computed tomography. Heart 2003;89:633-9
  3. Fayad ZA, Fuster V, Nikolaou K, Becker C. Computed tomography and magnetic resonance imaging for noninvasive coronary angiography and plaque imaging: current and potential future concepts. Circulation 2002; 106:2026-34
  4. Lipton MJ, Higgins CB, Boyd DP. Computed tomography of the heart: evaluation of anatomy and function. J Am Coll Cardiol 1985;5(1 Suppl):55S-69S
  5. Leschka S, Alkadhi H, Plass A, Desbiolles L, Grünenfelder J, Marincek B, et al. Accuracy of MSCT coronary angiography with 64-slice technology: first experience. Eur Heart J 2005;26:1482-7
  6. Raff GL, Gallagher MJ, O’Neill WW, Goldstein JA. Diagnostic accuracy of noninvasive coronary angiography using 64-slice spiral computed tomography. J Am Coll Cardiol 2005;46:552-7
  7. Leber AW, Knez A, von Ziegler F, Becker A, Nikolaou K, Paul S, et al. Quantification of obstructive and nonobstructive coronary lesions by 64-slice computed tomography: a comparative study with quantitative coronary angiography and intravascular ultrasound. J Am Coll Cardiol 2005;46:147-54
  8. Mollet NR, Cademartiri F, van Mieghem CA, Runza G, McFadden EP, Baks T, et al. High-resolution spiral computed tomography coronary angiography in patients referred for diagnostic conventional coronary angiography. Circulation 2005;112:2318-23
  9. Austen WG, Edwards JE, Frye RL, Gensini GG, Gott VL, Griffith LS, et al. A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association. Circulation 1975;51(4 Suppl):5-40
  10. Agatston AS, Janowitz WR, Hildner FJ, Zusmer NR, Viamonte M Jr, Detrano R. Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol 1990;15:827-32
  11. Nieman K, Oudkerk M, Rensing BJ, van Ooijen P, Munne A, van Geuns RJ, et al. Coronary angiography with multi-slice computed tomography. Lancet 2001; 357:599-603
  12. Kopp AF, Schroeder S, Kuettner A, Baumbach A, Georg C, Kuzo R, et al. Non invasive coronary ang